جست‌وجوی استاد و پژوهشگر

Oliver Henrichمشاهده پروفایل

مدرس ارشد

• Soft Condensed Matter Physics
• Coarse-grained Simulation of DNA and RNA
• Liquid Crystal Physics
• +۱۲ مورد دیگر

Oliver Henrich is a Senior Lecturer in the Department of Physics at the University of Strathclyde, Faculty of Science, United Kingdom. He is actively involved in research, teaching, and software development in the domain of soft condensed matter physics and computational biophysics. His work bridges physics, chemistry, and biology through advanced simulation techniques. Research Interests: Soft condensed matter physics Coarse-grained simulation of DNA and RNA Structure, rheology, and microfluidics of liquid crystals Development of new soft and functional composite materials Mesoscopic simulation methods for complex fluids High-performance computing and algorithm development Research software engineering His recent publications focus on lattice Boltzmann simulations of particle dynamics, defect-mediated transport in liquid crystals, and coarse-grained modeling of DNA structures. These works reflect a strong trend toward understanding emergent behavior in soft and biological materials using computational frameworks. He employs methods such as oxDNA and LAMMPS to simulate molecular and mesoscopic systems at scale. Scientific Awards: Chancellor's Fellowship (2017) EPSRC Early Career Fellowship (2016) EPSRC Research Software Engineer Fellowship (2016) Oliver Henrich advises PhD students and has supervised vacation research projects, including the Carnegie Vacation Scholarship for Lewis Russell. He is Principal Investigator on multiple funded research projects, including EPSRC grants related to exascale biomolecular simulations and oxDNA3 model development. His work emphasizes both fundamental understanding and practical computational tool development. He is part of the Soft Matter and Biophysics group within the Physics of Life Sciences, contributing to a collaborative research environment with access to high-performance computing resources such as ARCHIE-WeSt. His professional activities include invited talks at conferences and advisory roles in the EPSRC Peer Review College.

Clotilde Cucinottaمشاهده پروفایل

پژوهشگر ارشد

• Computational Chemistry
• Theoretical Chemistry
• Surface Science
• +۵ مورد دیگر

Dr. Clotilde Cucinotta is an EPSRC Fellow in the Department of Chemistry at Imperial College London, where she has led independent research since 2018. Her work focuses on computational modeling of solid-liquid interfaces, electron transport phenomena, and energy conversion systems using advanced molecular dynamics and first-principles methods. Her educational background includes: Master's in Condensed Matter Physics, University of Messina (Italy) PhD from University of Modena and INFM-CNR-S3 excellence centre (Italy) Dr. Cucinotta's research integrates computational chemistry and materials science to investigate interfacial processes critical for energy technologies. She specializes in modeling electrified interfaces under operational conditions, with emphasis on platinum-water systems, 2D material reactivity, and electrochemical energy conversion. Her methodologies bridge quantum mechanical simulations with macroscopic electrochemical behavior, enabling predictive design of catalysts and energy storage materials. Current projects address CO 2 conversion, battery electrode interfaces, and corrosion mechanisms through atomistic simulations. Analysis of her 2021-2025 publications reveals consistent focus on solid-liquid electrochemical interfaces, particularly platinum-water systems under bias. Her work demonstrates methodological innovation in simulating potential-controlled interfaces while advancing fundamental understanding of capacitive response, wettability, and reaction mechanisms. Key thematic areas include electrocatalysis for sustainable fuels, nanoscale battery materials, and computational tools for realistic interface modeling. Scientific recognition includes: Prestigious EPSRC Fellowship supporting her independent research program Funded by her EPSRC Fellowship, Dr. Cucinotta leads a computational research group developing novel simulation frameworks for electrochemical interfaces. She mentors early-career researchers in computational chemistry and maintains collaborations with experimental groups at Trinity College Dublin and ETH Zurich. Her grant portfolio centers on fundamental interface science with applications in energy conversion and storage. Her research is conducted within Imperial College London's Department of Chemistry, utilizing high-performance computing infrastructure for large-scale molecular dynamics and quantum simulations. The computational laboratory focuses on developing open-boundary methods for realistic electrochemical interface modeling under operational conditions.

• Photonics
• Nano-Electronics
• Optoelectronics
• +۳ مورد دیگر

Professor Martin Charlton is a photonics and nano-electronics specialist affiliated with the University of Southampton , where he works in the Department of Electronics and Computer Science . His research focuses on optoelectronic devices , photonic crystal fabrication , and organic electronics for sustainable applications.

Minsi Chenمشاهده پروفایل

پژوهشگر

• Computer Science
• Augmented Reality
• Data Visualization
• +۷ مورد دیگر

Minsi Chen is a Researcher at the University of Huddersfield , affiliated with the School of Computing and Engineering and the Department of Computer Science . They serve as Subject Area Leader (CIS - U/G) and are a member of the Centre for Industrial Analytics and Centre for Sustainable Computing . Their work spans interdisciplinary research with a focus on computer science, augmented reality, and medical applications. Research Interests : Minsi Chen's research expertise includes real-time rendering , volume rendering , augmented reality , multimodal sensing data fusion , and visualization of large datasets . They have contributed to advancements in medical imaging , hybrid system modeling , and graph neural networks , with applications in trauma surgery simulation , automotive systems , and industrial analytics . Collaborative Activity : Recent research outputs indicate strong collaborations with institutions such as University of Huddersfield , CERN , and University of Leeds . Their work intersects with UN Sustainable Development Goals related to good health , industry innovation , and climate action through sustainable computing initiatives.

P. M. Secularمشاهده پروفایل

مدرس

• Quantum Physics
• Computational Physics
• Theoretical Physics
• +۷ مورد دیگر

P. M. Secular is a Lecturer in the Department of Mathematical Sciences at the University of Bath, engaged in both teaching and research. Their academic work bridges computational physics and quantum information, with a focus on high-performance implementations of tensor network algorithms. Dr. Secular holds the following academic qualifications: Doctor of Philosophy in Mathematics & Physics, University of Bath (awarded 28 Jun 2024) Master in Science in Physics with Theoretical Physics, Imperial College London (awarded 1 Aug 2016) CertHE in Physics and Mathematics, Birkbeck, University of London (awarded 1 Aug 2012) Their research centers on the design and application of parallel tensor network methods to strongly-correlated quantum systems, particularly using matrix product states for simulations on supercomputers. Additional interests span quantum foundations, quantum information, chaos theory, and physics education. Teaching areas include tensor networks, quantum mechanics, special relativity, mathematical methods, and scientific computing. The recent publications reflect a strong focus on computational quantum many-body physics, with an emphasis on algorithm development for tensor networks and their verification. The work integrates numerical analysis, quantum simulation, and high-performance computing, contributing to both theoretical understanding and practical implementation in condensed matter and quantum information contexts. Dr. Secular has served as a peer reviewer for the Research Data Alliance in 2022, demonstrating active participation in the academic community. There are no listed scientific awards or grants at this time. While no formal advisees are listed, Dr. Secular has collaborated with prominent researchers such as Dieter Jaksch and Stefanos Kourtis. Their work is associated with advanced computational research environments, likely involving access to high-performance computing clusters, though specific labs or teams are not named in the provided text.

• Urban Water Systems
• Complexity Science
• Water Distribution Systems
• +۷ مورد دیگر

Dr. Kegong Diao is a Lecturer in Engineering and Sustainable Development at De Montfort University, affiliated with the School of Engineering and Sustainable Development within the Faculty of Computing, Engineering and Media. He is a researcher at the Centre for Engineering Science and Advanced Systems (CESAS), focusing on complexity science-based methodologies for urban infrastructure systems, particularly water distribution networks. Research Interests: Dr. Diao specializes in scientific methods for urban water systems analysis, including smart water systems, topological and behavioral complexity decoding, resilience and vulnerability assessment, optimal sensor and actuator placement, DMA planning, model calibration, and advanced hydraulic simulation. His work bridges theoretical innovation with practical applications in sustainable urban development. The analysis of his recent publications reveals a consistent focus on enhancing the reliability, efficiency, and resilience of water distribution systems through computational modeling, network decomposition, and data-driven diagnostics. His research leverages graph theory, optimization algorithms, and parallel computing to solve real-world challenges in leakage management, system design, and operational control. Scientific Awards: Technology Innovation Awards (2015) 2015 Outstanding Reviewer Award for Water Research Advising and Grants: Dr. Diao serves as second supervisor for three PhD students working on leakage management, pump control, and utility benchmarking. He has contributed to 14 research and consulting projects, including EU FP7 PREPARED, EPSRC Safe & SuRe, and Clean Water for All. His methods have enabled successful collaborations with leading water utilities such as Severn Trent Water and Shenzhen Water Utility, resulting in submitted project proposals and knowledge transfer initiatives. Labs and Research Groups: He is an active member of the Centre for Engineering Science and Advanced Systems (CESAS), where he develops and applies cutting-edge computational tools for infrastructure analysis. His research has been disseminated through International Innovation and invited presentations at elite forums including the American Chemical Society National Meeting.

Tobias Grosserمشاهده پروفایل

دانشیار

• Compilers
• Programming Languages
• Performance Programming
• +۷ مورد دیگر

Tobias Grosser is an Associate Professor in the Department of Computer Science and Technology at the University of Cambridge. His research focuses on rethinking performance programming by bridging the gap between developers and compilers. He holds a PhD from École Normale Supérieure Paris and has held positions including Reader at the University of Edinburgh and Ambizione Fellow at ETH Zurich. His research interests span compilers, programming language design, static/dynamic analysis, and the integration of machine learning into compiler development. He emphasizes making compilation more modular, automatic, and trustworthy, with applications in quantum computing, climate science, and open-source hardware. Key projects include xDSL (a Python-native compiler framework), LoopOpt, and the Open Earth Compiler for climate simulations. Recent publications highlight advancements in multi-level intermediate representations (IR), formal verification in MLIR, and performance optimization for GPUs and FPGAs. His work often addresses barriers between programmers and compilers, aiming for intuitive collaboration between developers and automated systems. Tobias mentors a dynamic team of PhD students, postdocs, and researchers, including notable contributors like Siddharth Bhat, Arjun Pitchanathan, and Mathieu Fehr. His lab focuses on compiler toolchains for domain-specific hardware accelerators, quantum computing ecosystems, and verified compilation techniques.

Neil Drummondمشاهده پروفایل

مدرس ارشد

• Quantum Monte Carlo
• Two-dimensional materials
• Graphene
• +۵ مورد دیگر

Neil Drummond is a Senior Lecturer in the Physics Department at Lancaster University, where he conducts research in computational condensed matter physics. He is affiliated with both the Quantum Technology Centre and the Condensed Matter Theory group, focusing on advanced computational methods for studying quantum systems. Dr. Drummond's research interests center on the development and application of quantum Monte Carlo methods for calculating material properties from first principles. His work spans several key areas including two-dimensional materials (particularly graphene, silicene, and transition metal dichalcogenides), materials at high pressure, and electron(-hole) gases. His computational approach enables precise modeling of quantum effects in condensed matter systems that are challenging to study with conventional methods. Analysis of Dr. Drummond's recent publications reveals a strong focus on quantum Monte Carlo techniques applied to two-dimensional electron systems and novel materials. His work consistently addresses fundamental questions about electron correlation, phase transitions, and quasiparticle properties in low-dimensional systems. The research demonstrates increasing computational sophistication, with recent papers exploring GPU acceleration of quantum Monte Carlo codes and reproducibility of computational methods. Dr. Drummond currently supervises two postgraduate research students, James Doughty and Clio Johnson, guiding them in the development and application of quantum Monte Carlo methods. He serves as Principal Investigator for the PAX-HPC (Particles At eXascale On high Performance Computers) project, funded by the Engineering and Physical Sciences Research Council, which runs from December 2021 to March 2025. This project represents significant research funding supporting advanced computational physics research at Lancaster University. Within the Lancaster University research ecosystem, Dr. Drummond contributes to the Quantum Technology Centre, where his computational expertise complements experimental work on quantum materials and devices. His research forms part of the broader condensed matter physics efforts at the university, which spans both fundamental theoretical investigations and potential applications in next-generation electronic materials.

Qicheng Yuمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Cyber Security
• +۱ مورد دیگر

Dr. Qicheng Yu is an Associate Professor (Enterprise) at the School of Computing and Digital Media, London Metropolitan University. As Subject Standard Board Chair of Computer Science and Applied Computing, he leads the Data Analytics MSc and Information Technology (Distance Learning) MSc programs. His research spans AI, cyber security, and big data, with a focus on practical applications in education, finance, and urban development. His research interests include Artificial Intelligence , Machine Learning , and Cyber Security , with projects ranging from fraud detection to student performance prediction. Recent work highlights multimodal data analysis for fake review detection and data dashboard development for business intelligence. Fellow of the Higher Education Academy (FHEA) Member of Data Science Association and Cyber Security Systems Research Centre Recipient of Innovate UK grants (2022: £131,296; 2019: £19,200; 2015: £115,000) He supervises PhD students in data science and AI , while contributing to cross-disciplinary initiatives like the Empowering London Lab and SME cyber security clinics.

Kostya Trachenkoمشاهده پروفایل

استاد

• Condensed Matter Physics
• Theoretical Physics
• Liquid State Theory
• +۷ مورد دیگر

Kostya Trachenko is a Professor of Physics at Queen Mary University of London, affiliated with the School of Physical and Chemical Sciences. He holds a prominent position in theoretical and computational condensed matter physics, with extensive research contributions to the fundamental understanding of states of matter. PhD: Cambridge University MSc: L'viv University, Ukraine Research Fellowship: Darwin College, Cambridge EPSRC Advanced Research Fellowship Trachenko's research focuses on the theoretical foundations of condensed matter physics, particularly the long-standing problems in liquid state theory, melting, and the relationship between fundamental physical constants and material properties. His work has revolutionized our understanding of liquids, developing a phonon-based theory that explains liquid thermodynamics where previous approaches failed. He discovered the Frenkel line on the phase diagram above the critical point, fundamentally changing textbook understanding of states of matter. His research on fundamental physical constants establishing bounds for properties like viscosity and speed of sound has received international recognition, including the Top 10 Physics Breakthrough award. Analysis of his publication trends shows a consistent focus on connecting fundamental physical constants to material properties, with significant work on viscosity limits, speed of sound bounds, and melting theory. His research spans from pure theoretical physics to practical applications in nuclear materials and fusion energy. Top 10 Physics Breakthrough award for work on speed of sound from fundamental constants CCP5 prize for outstanding contributions to theory and modeling of condensed matter phases Teaching award recognizing excellence in student mentorship Trachenko actively mentors PhD students, with his students reportedly winning major international prizes, completing projects in less than three years, and securing positions at prestigious institutions including MIT, Cornell, Oak Ridge Laboratory, and King's College. His research has been supported by significant grants, though specific grant details aren't provided in the source material. He has developed extensive molecular dynamics simulation capabilities, evidenced by his work on radiation damage and the DL_POLY software development. His research group employs advanced computational techniques including molecular dynamics simulations to study atomic-scale phenomena in liquids, glasses, and radiation-damaged materials. The group has produced numerous animations of atomic motions that illustrate key physical processes in liquids and glasses, making complex phenomena visually accessible.

Paul Dellarمشاهده پروفایل

مدرس

• Lattice Boltzmann methods
• Complex fluids
• Magnetohydrodynamics
• +۴ مورد دیگر

Paul Dellar is a Governing Body Fellow and Tutor in Applied Mathematics at Corpus Christi College, University of Oxford, where he also serves as a University Lecturer in Applied Mathematics. He returned to Oxford in 2007 after previous academic positions including a lectureship at Imperial College London and a Junior Research Fellowship at Corpus Christi College (2001–2004). His educational background includes undergraduate and graduate studies at the University of Cambridge, supplemented by participation in the Woods Hole Summer Study Programme in Geophysical Fluid Dynamics. Dr. Dellar's research spans several interconnected domains: Lattice Boltzmann methods : Developing computational frameworks for fluid dynamics, electromagnetic systems, and quantum applications, with industrial uses in automotive and nuclear engineering. Geophysical fluid dynamics : Deriving improved shallow water equations to model ocean currents (e.g., Antarctic Bottom Water crossing the equator) and atmospheric phenomena on planets like Jupiter. Multiscale modeling : Bridging kinetic theory, magnetohydrodynamics, and active matter systems through novel algorithms. His publications predominantly explore computational innovations in fluid dynamics and plasma physics, with recurring themes of lattice Boltzmann optimizations, conservation properties in geophysical models, and turbulence mechanisms in exotic systems. Recent work shows increasing focus on quantum lattice algorithms and high-precision magnetohydrodynamics solvers. Notable scientific recognition includes: Glasstone Research Fellowship (University of Oxford) He has supervised doctoral candidates such as Andrew Stewart, with whom he co-authored research on Coriolis force modeling in oceanography. Industrial collaborations include study groups addressing challenges like blood flow simulation for surgical stents and wave energy conversion systems.

• Computer Software
• Computation Theory
• Pure Mathematics
• +۳ مورد دیگر

Martin Berger is an Associate Professor in Foundations of Computation at the University of Sussex's School of Engineering and Informatics. His research bridges theoretical computer science and practical systems engineering, with focus areas including: Formal methods and program verification Programming language design and semantics Hardware security vulnerabilities and mitigations GPU-accelerated computation and program synthesis Automated reasoning and logic-based systems With 51 publications, his recent work demonstrates strong emphasis on: Developing high-performance simulation tools (Pydrofoil) GPU-based acceleration of formal methods Security analysis of programming language ecosystems Automated inference systems for regular expressions He maintains active research collaborations across Europe and welcomes inquiries via his institutional email.

• Cloud Computing
• Requirements Engineering
• Strategic Management of Information Systems
• +۱ مورد دیگر

Dr. Huseyin Dagdeviren serves as Senior Lecturer and Director of Employability in the School of Computer Science and Engineering at the University of Westminster, where he actively contributes to the Centre for Parallel Computing (CPC). With over two decades of academic experience, he bridges theoretical research with industrial applications through major EU-funded initiatives. His educational foundation includes a BA (Honours) in Business Administration and MSc in Information Systems. This interdisciplinary background informs his research approach, combining technical cloud computing expertise with strategic business perspectives. Dr. Dagdeviren's research centers on complex information systems, with specialized focus on Cloud Computing, Requirements Engineering, and Strategic Management of IT. His work drives innovation in cloud-to-edge orchestration and digital manufacturing through Horizon 2020 projects like CloudiFacturing and DIGITbrain, addressing critical industry challenges in SME digital transformation. Analysis of his 2004-2023 publications reveals an evolving trajectory from foundational database and UML education research toward cutting-edge distributed systems. Recent work (2021-2023) dominates in cloud/edge computing, demonstrating strategic alignment with funded projects and industrial relevance in manufacturing simulation and digital twin deployment. As Director of Employability, he oversees career development programs while securing substantial EU grants including CO-VERSATILE (2020) and DIGITbrain (2020). These multi-institutional projects provide robust funding for the CPC lab and create direct industry pathways for students. The Centre for Parallel Computing operates as his primary research hub, facilitating international collaboration across 10+ European countries. Students benefit from exposure to large-scale EU consortia, industry partnerships with Siemens/Bosch, and hands-on development of production-grade cloud orchestration platforms.

• Performance Analysis and Engineering
• Energy Efficient Computing
• Parallel and Distributed Computer Architectures
• +۷ مورد دیگر

Vladimir Getov is a Professor at the University of Westminster with extensive international affiliations including Honorary Professor at Technical University of Sofia and Visiting Lab Fellow at Pacific Northwest National Laboratory. His leadership roles span the IEEE Computer Society (Governor since 2015), CoreGRID/ERCIM Working Group (Topic Leader 2009-2015), and multiple editorial positions including Area Editor for High Performance Computing at IEEE Computer. His research centers on Performance Analysis and Engineering, Energy Efficient Computing, and Parallel and Distributed Architectures with significant contributions to cloud computing, wireless sensor networks, and component-oriented design. Recent work focuses on energy-drain attack prevention in MAC protocols and application-specific thermal modeling for multi-core processors. Key awards include the Bulgarian National Scientific Award 'Pythagoras' (2009), IEEE Computer Society Certificates of Appreciation (2008, 2010), and CoreGRID Outstanding Contribution Award (2008). His publication record spans 35+ years with over 100 papers including the 2024 IEEE ICAI conference paper on electronic digital computing history. As leader of the Distributed and Intelligent Systems Research Group since 1996, he has supervised 7 PhD students to completion with frameworks like AGOCS cloud simulator and TunableMAC protocol. His EU project leadership includes CoreGRID (2004-2009) and GridCOMP (2006-2010), securing sustained research funding including Daiwa Foundation support (2017) for low-energy co-design methodology.